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Comparing distributions of ordinal data

Stephen Jenkins

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

Abstract: To compare distributions of ordinal data such as individuals’ responses on Likert-type scale variables summarizing subjective well-being, we should not apply the toolbox of methods developed for cardinal variables such as income. Instead, we should use an analogous toolbox that accounts for the ordinal nature of the responses. In this article, I review these methods and introduce a new command, ineqord, for undertaking distributional comparisons. As the empirical illustrations demonstrate, ineqord can be used for dominance checks as well as for estimation of indices of polarization and inequality.

Keywords: inequality; ordinal data; subjective well-being; life satisfaction; annual population survey (search for similar items in EconPapers)
JEL-codes: C1 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2020-09-01
New Economics Papers: this item is included in nep-hap, nep-ltv and nep-ore
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published in Stata Journal, 1, September, 2020, 20(3), pp. 505 - 531. ISSN: 1536-867X

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http://eprints.lse.ac.uk/104564/ Open access version. (application/pdf)

Related works:
Journal Article: Comparing distributions of ordinal data (2020) Downloads
Working Paper: Comparing Distributions of Ordinal Data (2020) Downloads
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